CS 488 – Week 4

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Last week I worked on collecting and preprocessing the data using Groupon API. I also started learning about and implementing my autoencoder model. So far the obstacle has been the learning curve but I have been extensively reading about neural … Read More

CS 488 – Week 4

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This week, I started the data preprocess for my image data. The steps include, resizing, cropping, normalizing and lastly change to tensor value so that it can be fit in a neural network. For the numerical data set, I started … Read More

Week 4

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I finished the ranking module. It take a folder of images, converts them to an array, passes the n best images to another function, which keeps processing the images, and then picking the best n again to be processed. There … Read More

Week 3

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I have started working on passing images to the ranking algorithm. I also have found some online food-photography courses I want to look at. Learning that will be helpful in knowing how to improve my images.

Update up to 2/5/2020

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This past month i have been mostly working with getting everything for my project working and fighting some major issues. The first issue that has been almost solved is that the NorthStar uses DisplayPort out while my computer only has … Read More

CS 488 – Week 3

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This week, I tried to implement some models and was hoping to get it on our Layout server with GPUs. However, the system admins were still working on that and I could not ssh to the server. Therefore, I created … Read More

CS488-Week3-Update

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I worked with possible ways of proving that non-contiguous Parks is NP-Complete, and found one good avenue for exploration. Over the week I produced a general technique to convert any instance of 3-SAT to an instance of the non-contiguous Parks … Read More

Idea 3

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Name of Project Automating laptop checkouts from CST front desk using image recognition What research topic/question your project is going to address? Although we need a human to address the needs of guests in the welcome desk of CST, it … Read More

Week 2

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I have spent some time thinking about how to split up the timeline into more detail. I have met with Charlie, and decided that the program should take a bulk of images as an input rather than a video. The … Read More

CS 488 – Week 2

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This week I have looked at some papers of most recent models for classifying images to build for my dataset. I encountered some challenges while reading those papers since there were terms that were hard to understand. Next week, I … Read More

CS 388 Idea 2

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Name of Project Visual representation of nation’s development level What research topic/question your project is going to address? The goal of this project is to use the various world bank data that is available to evaluate different development metrics for … Read More

CSS 488 – Week 2

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Due to a lack of available usable datasets, after talking to my advisor and instructor I decided to modify my project to focus on readability and sentiment instead. I researched papers on readability and sentiment this last week and have … Read More

CS 488 – Week 2 – Updates

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I decided to change my modeling method to neural networks. I have read a paper called Text-Independent Speaker Verification Using 3D Convolutional Neural Networks and checked their resources on GitHub. I tried to run their demo but required packages couldn’t … Read More

CS 488 – Week 1

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I go through the project again because it has been a while since I had CS 388 last Spring. I downloaded the data set and started doing some data manipulation and preprocessing. I will start looking at the models for … Read More

CS 488 – Week 1 – Update

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This week I worked on setting up Keras and completed a course on deep learning using Keras (Learn Keras: Build 4 Deep Learning Applications). As I prepped for implementing the project, one of the significant challenges I have encountered is … Read More

Week 13

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This week I have not been able to do much progress. I have decided to scrap the idea to use Machine Learning in the module for altering images, due to difficulty in implementation. Besides that, I have worked on the … Read More

CS 388 – Week 11 – Updates

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For this week I looked into many different datasets, including gis fire map data https://frap.fire.ca.gov/mapping/gis-data/ and Kaggle dataset https://www.kaggle.com/elikplim/forest-fires-data-set but couldn’t find what I was looking for. I picked The Ranch Fire in California but couldn’t find good datasets for … Read More

Week 12

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I have been continuing learning machine learning with Python, specifically  PyTorch. I started with PyTorch because it has a less steep learning curve compared to Tensorflow (the alternative). However, there are more tutorials for Tensorflow and I might pivot next … Read More

CS 388 – Week 12 – Update

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Discussed the feedback on the first draft with Xunfei. Got valuable feedback and planning to implement them in the second draft. I am searching for the algorithms to be used in the SLMS and working on the second draft.

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